code: def add_train_ops(self, net):
      # use the train_param_blobs to be consistent with the SamplingTrain unittest
      self._add_ops(net, self.train_param_blobs, "fp32")
  
file_path: pytorch/caffe2/python/layers/fc.py
imports: from caffe2.python.helpers.arg_scope import get_current_scope
  from caffe2.python import schema
  from caffe2.python.layers.layers import ModelLayer
  from caffe2.python.layers.sampling_trainable_mixin import SamplingTrainableMixin
  import math
  import numpy
label_desc: Use image node_id 6 for calling the FC obj's underlying member method code with example usage: obj.add_train_ops(net) without return types